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The Scientific World Journal
Volume 2015 (2015), Article ID 534045, 8 pages
http://dx.doi.org/10.1155/2015/534045
Research Article

Diagnosing and Ranking Retinopathy Disease Level Using Diabetic Fundus Image Recuperation Approach

1Department of Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul 624 622, India
2Department of Computer Science and Engineering, Velammal College of Engineering and Technology, Madurai, Tamil Nadu 625 009, India

Received 29 October 2014; Revised 3 March 2015; Accepted 10 March 2015

Academic Editor: Atsushi Otani

Copyright © 2015 K. Somasundaram and P. Alli Rajendran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Gunaseelan, and M. Tamil Nidhi, “Efficient ranking of diabetic retinopathy and glaucoma using echo state neural network and radial basis function (RBF),” Journal of Medical Imaging and Health Informatics, vol. 6, no. 3, pp. 869–874, 2016. View at Publisher ยท View at Google Scholar